Evolutionary Computing for Metals Properties Modelling

Maysam F. Abbod; M. Mahfouf; D.A. Linkens; C.M. Sellars

doi:10.4028/www.scientific.net/MSF.539-543.2449

Paper Titles

Theoretical Study of Glass Transition Based on Cluster Variation Method
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Computer Simulation of the Precipitate Evolution during Industrial Heat Treatment of Complex Alloys
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Computer Simulation of Grain Growth in Three Dimensions by the Phase Field Model with Anisotropic Grain-Boundary Mobilities
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Phase Transformation Modeling of Medium-Carbon Forging Steel
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Evolutionary Computing for Metals Properties Modelling
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Modelling of Dynamic Recrystallisation of 316L Stainless Steel Using a Systems Approach
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Analytical and Computational Models for Investigations of Local Buckling in Honeycomb Sandwiches
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Kinetic Features of Solid-State Reactive Diffusion between Au and Sn-Base Solder
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HomeMaterials Science ForumMaterials Science Forum Vols. 539-543Evolutionary Computing for Metals Properties...

Evolutionary Computing for Metals Properties Modelling

Abstract:

During the last decade Genetic Programming (GP) has emerged as an efficient methodology for teaching computers how to program themselves. This paper presents research work which utilizes GP for developing mathematical equations for the response surfaces that have been generated using hybrid modelling techniques for predicting the properties of materials under hot deformation. Collected data from the literature and experimental work on aluminium are utilized as the initial training data for the GP to develop the mathematical models under different deformation conditions and compositions.

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Periodical:

Materials Science Forum (Volumes 539-543)

Pages:

2449-2454

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.539-543.2449

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Online since:

March 2007

Authors:

Maysam F. Abbod, M. Mahfouf, D.A. Linkens, C.M. Sellars

Keywords:

Alloy Materials, Genetic Programming, Material Property, Modeling, Strain, Stress

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References

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DOI: 10.1016/s1359-6454(03)00353-7

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